Dataset statistics
| Number of variables | 39 |
|---|---|
| Number of observations | 5249 |
| Missing cells | 3948 |
| Missing cells (%) | 1.9% |
| Duplicate rows | 14 |
| Duplicate rows (%) | 0.3% |
| Total size in memory | 1.4 MiB |
| Average record size in memory | 281.0 B |
Variable types
| Categorical | 21 |
|---|---|
| Numeric | 15 |
| Text | 1 |
| DateTime | 1 |
| Boolean | 1 |
is_single_plan has constant value "False" | Constant |
| Dataset has 14 (0.3%) duplicate rows | Duplicates |
Basic Delivery is highly overall correlated with Basic Price and 3 other fields | High correlation |
Basic Price is highly overall correlated with Basic Delivery and 3 other fields | High correlation |
Basic Revision is highly overall correlated with Premium Revision and 1 other fields | High correlation |
Category is highly overall correlated with Field | High correlation |
Field is highly overall correlated with Category | High correlation |
Premium Delivery is highly overall correlated with Basic Delivery and 3 other fields | High correlation |
Premium Price is highly overall correlated with Basic Price and 3 other fields | High correlation |
Premium Revision is highly overall correlated with Basic Revision and 1 other fields | High correlation |
Standard Delivery is highly overall correlated with Basic Delivery and 4 other fields | High correlation |
Standard Price is highly overall correlated with Basic Delivery and 4 other fields | High correlation |
Standard Revision is highly overall correlated with Basic Revision and 1 other fields | High correlation |
Arabic is highly imbalanced (74.5%) | Imbalance |
Bengali is highly imbalanced (71.8%) | Imbalance |
Chinese is highly imbalanced (86.8%) | Imbalance |
Dutch is highly imbalanced (89.5%) | Imbalance |
English is highly imbalanced (92.4%) | Imbalance |
Hebrew is highly imbalanced (90.9%) | Imbalance |
Hindi is highly imbalanced (55.2%) | Imbalance |
Indonesian is highly imbalanced (90.0%) | Imbalance |
Italian is highly imbalanced (72.8%) | Imbalance |
Portuguese is highly imbalanced (82.2%) | Imbalance |
Punjabi is highly imbalanced (85.4%) | Imbalance |
Russian is highly imbalanced (76.8%) | Imbalance |
Turkish is highly imbalanced (89.9%) | Imbalance |
Ukrainian is highly imbalanced (85.9%) | Imbalance |
Rating has 82 (1.6%) missing values | Missing |
Member Since has 1259 (24.0%) missing values | Missing |
Avg Response Time has 1352 (25.8%) missing values | Missing |
Last Delivery has 1254 (23.9%) missing values | Missing |
Avg Response Time is highly skewed (γ1 = 20.36477135) | Skewed |
Basic Revision has 1114 (21.2%) zeros | Zeros |
Standard Revision has 1031 (19.6%) zeros | Zeros |
Premium Revision has 1281 (24.4%) zeros | Zeros |
Last Delivery has 1194 (22.7%) zeros | Zeros |
Order in Queue has 3198 (60.9%) zeros | Zeros |
Reproduction
| Analysis started | 2024-05-28 07:13:43.508821 |
|---|---|
| Analysis finished | 2024-05-28 07:14:24.271892 |
| Duration | 40.76 seconds |
| Software version | ydata-profiling v4.8.3 |
| Download configuration | config.json |
Category
Categorical
HIGH CORRELATION
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| Music & Audio | |
|---|---|
| Programming & Tech | |
| Business | |
| Lifestyle | |
| Data | |
| Other values (5) |
Length
| Max length | 21 |
|---|---|
| Median length | 17 |
| Mean length | 13.382359 |
| Min length | 4 |
Characters and Unicode
| Total characters | 70244 |
|---|---|
| Distinct characters | 31 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Data |
|---|---|
| 2nd row | Data |
| 3rd row | Data |
| 4th row | Data |
| 5th row | Data |
Common Values
| Value | Count | Frequency (%) |
| Music & Audio | 676 | |
| Programming & Tech | 667 | |
| Business | 654 | |
| Lifestyle | 531 | |
| Data | 530 | |
| Writing & Translation | 516 | |
| Graphics & Design | 505 | |
| Video & Animation | 484 | |
| Digital Marketing | 354 | |
| Photography | 332 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2848 | ||
| music | 676 | 6.0% |
| audio | 676 | 6.0% |
| programming | 667 | 5.9% |
| tech | 667 | 5.9% |
| business | 654 | 5.8% |
| lifestyle | 531 | 4.7% |
| data | 530 | 4.7% |
| translation | 516 | 4.6% |
| writing | 516 | 4.6% |
| Other values (7) | 3018 |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 8276 | 11.8% |
| 6050 | 8.6% | |
| a | 4788 | 6.8% |
| n | 4696 | 6.7% |
| s | 4695 | 6.7% |
| e | 3726 | 5.3% |
| t | 3617 | 5.1% |
| r | 3557 | 5.1% |
| o | 3491 | 5.0% |
| g | 3395 | 4.8% |
| Other values (21) | 23953 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 70244 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| i | 8276 | 11.8% |
| 6050 | 8.6% | |
| a | 4788 | 6.8% |
| n | 4696 | 6.7% |
| s | 4695 | 6.7% |
| e | 3726 | 5.3% |
| t | 3617 | 5.1% |
| r | 3557 | 5.1% |
| o | 3491 | 5.0% |
| g | 3395 | 4.8% |
| Other values (21) | 23953 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 70244 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| i | 8276 | 11.8% |
| 6050 | 8.6% | |
| a | 4788 | 6.8% |
| n | 4696 | 6.7% |
| s | 4695 | 6.7% |
| e | 3726 | 5.3% |
| t | 3617 | 5.1% |
| r | 3557 | 5.1% |
| o | 3491 | 5.0% |
| g | 3395 | 4.8% |
| Other values (21) | 23953 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 70244 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| i | 8276 | 11.8% |
| 6050 | 8.6% | |
| a | 4788 | 6.8% |
| n | 4696 | 6.7% |
| s | 4695 | 6.7% |
| e | 3726 | 5.3% |
| t | 3617 | 5.1% |
| r | 3557 | 5.1% |
| o | 3491 | 5.0% |
| g | 3395 | 4.8% |
| Other values (21) | 23953 |
Field
Categorical
HIGH CORRELATION
| Distinct | 35 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| articles-blogposts | 183 |
|---|---|
| video-editing | 181 |
| website-development | 176 |
| singers-vocalists | 175 |
| mixing-mastering | 175 |
| Other values (30) |
Length
| Max length | 29 |
|---|---|
| Median length | 20 |
| Mean length | 16.021337 |
| Min length | 5 |
Characters and Unicode
| Total characters | 84096 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | data-engineering |
|---|---|
| 2nd row | data-engineering |
| 3rd row | data-engineering |
| 4th row | data-engineering |
| 5th row | data-engineering |
Common Values
| Value | Count | Frequency (%) |
| articles-blogposts | 183 | 3.5% |
| video-editing | 181 | 3.4% |
| website-development | 176 | 3.4% |
| singers-vocalists | 175 | 3.3% |
| mixing-mastering | 175 | 3.3% |
| sales | 174 | 3.3% |
| mobile-app-services | 170 | 3.2% |
| social-media-design | 170 | 3.2% |
| social-marketing | 169 | 3.2% |
| fashion-design | 168 | 3.2% |
| Other values (25) | 3508 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| articles-blogposts | 183 | 3.5% |
| video-editing | 181 | 3.4% |
| website-development | 176 | 3.4% |
| singers-vocalists | 175 | 3.3% |
| mixing-mastering | 175 | 3.3% |
| sales | 174 | 3.3% |
| mobile-app-services | 170 | 3.2% |
| social-media-design | 170 | 3.2% |
| social-marketing | 169 | 3.2% |
| business-plans | 168 | 3.2% |
| Other values (25) | 3508 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 9843 | |
| s | 7683 | 9.1% |
| i | 7661 | 9.1% |
| a | 6496 | 7.7% |
| n | 6372 | 7.6% |
| t | 5858 | 7.0% |
| - | 5523 | 6.6% |
| o | 5023 | 6.0% |
| r | 4086 | 4.9% |
| g | 3658 | 4.3% |
| Other values (15) | 21893 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 84096 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 9843 | |
| s | 7683 | 9.1% |
| i | 7661 | 9.1% |
| a | 6496 | 7.7% |
| n | 6372 | 7.6% |
| t | 5858 | 7.0% |
| - | 5523 | 6.6% |
| o | 5023 | 6.0% |
| r | 4086 | 4.9% |
| g | 3658 | 4.3% |
| Other values (15) | 21893 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 84096 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 9843 | |
| s | 7683 | 9.1% |
| i | 7661 | 9.1% |
| a | 6496 | 7.7% |
| n | 6372 | 7.6% |
| t | 5858 | 7.0% |
| - | 5523 | 6.6% |
| o | 5023 | 6.0% |
| r | 4086 | 4.9% |
| g | 3658 | 4.3% |
| Other values (15) | 21893 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 84096 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 9843 | |
| s | 7683 | 9.1% |
| i | 7661 | 9.1% |
| a | 6496 | 7.7% |
| n | 6372 | 7.6% |
| t | 5858 | 7.0% |
| - | 5523 | 6.6% |
| o | 5023 | 6.0% |
| r | 4086 | 4.9% |
| g | 3658 | 4.3% |
| Other values (15) | 21893 |
Seller Level
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 1 | |
|---|---|
| 2 | |
| 3 | |
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 2 |
| 4th row | 2 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 1441 | |
| 2 | 1352 | |
| 3 | 1325 | |
| 4 | 1131 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 1441 | |
| 2 | 1352 | |
| 3 | 1325 | |
| 4 | 1131 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1441 | |
| 2 | 1352 | |
| 3 | 1325 | |
| 4 | 1131 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 1441 | |
| 2 | 1352 | |
| 3 | 1325 | |
| 4 | 1131 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 1441 | |
| 2 | 1352 | |
| 3 | 1325 | |
| 4 | 1131 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 1441 | |
| 2 | 1352 | |
| 3 | 1325 | |
| 4 | 1131 |
Seller In Same Level
Real number (ℝ)
| Distinct | 114 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6104.4267 |
| Minimum | 1 |
|---|---|
| Maximum | 120000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 61.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 38 |
| Q1 | 329 |
| median | 1000 |
| Q3 | 4600 |
| 95-th percentile | 33000 |
| Maximum | 120000 |
| Range | 119999 |
| Interquartile range (IQR) | 4271 |
Descriptive statistics
| Standard deviation | 15455.355 |
|---|---|
| Coefficient of variation (CV) | 2.5318273 |
| Kurtosis | 28.381426 |
| Mean | 6104.4267 |
| Median Absolute Deviation (MAD) | 900 |
| Skewness | 4.9206409 |
| Sum | 32042136 |
| Variance | 2.3886798 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1000 | 205 | 3.9% |
| 2800 | 172 | 3.3% |
| 2000 | 129 | 2.5% |
| 313 | 120 | 2.3% |
| 1800 | 87 | 1.7% |
| 2700 | 86 | 1.6% |
| 606 | 86 | 1.6% |
| 12000 | 84 | 1.6% |
| 2200 | 83 | 1.6% |
| 8900 | 82 | 1.6% |
| Other values (104) | 4115 |
| Value | Count | Frequency (%) |
| 1 | 1 | < 0.1% |
| 2 | 2 | < 0.1% |
| 7 | 6 | 0.1% |
| 9 | 9 | 0.2% |
| 18 | 19 | 0.4% |
| 22 | 17 | 0.3% |
| 23 | 55 | |
| 25 | 23 | |
| 27 | 25 | |
| 32 | 25 |
| Value | Count | Frequency (%) |
| 120000 | 47 | |
| 75000 | 43 | |
| 53000 | 42 | |
| 50472 | 46 | |
| 44000 | 42 | |
| 33000 | 46 | |
| 26000 | 45 | |
| 23000 | 45 | |
| 19000 | 45 | |
| 17000 | 44 |
Basic Price
Real number (ℝ)
HIGH CORRELATION
| Distinct | 242 |
|---|---|
| Distinct (%) | 4.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 122.37673 |
| Minimum | 3.24 |
|---|---|
| Maximum | 10529.63 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.0 KiB |
Quantile statistics
| Minimum | 3.24 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 15 |
| median | 40 |
| Q3 | 100 |
| 95-th percentile | 395 |
| Maximum | 10529.63 |
| Range | 10526.39 |
| Interquartile range (IQR) | 85 |
Descriptive statistics
| Standard deviation | 404.47399 |
|---|---|
| Coefficient of variation (CV) | 3.3051544 |
| Kurtosis | 254.5953 |
| Mean | 122.37673 |
| Median Absolute Deviation (MAD) | 30 |
| Skewness | 13.303904 |
| Sum | 642355.45 |
| Variance | 163599.21 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10 | 621 | 11.8% |
| 5 | 416 | 7.9% |
| 100 | 377 | 7.2% |
| 30 | 345 | 6.6% |
| 15 | 304 | 5.8% |
| 50 | 275 | 5.2% |
| 20 | 273 | 5.2% |
| 25 | 217 | 4.1% |
| 150 | 180 | 3.4% |
| 40 | 148 | 2.8% |
| Other values (232) | 2093 |
| Value | Count | Frequency (%) |
| 3.24 | 5 | 0.1% |
| 4.48 | 36 | 0.7% |
| 5 | 416 | |
| 6.49 | 1 | < 0.1% |
| 8.95 | 50 | 1.0% |
| 8.96 | 1 | < 0.1% |
| 9.73 | 1 | < 0.1% |
| 10 | 621 | |
| 13.44 | 30 | 0.6% |
| 15 | 304 |
| Value | Count | Frequency (%) |
| 10529.63 | 1 | < 0.1% |
| 10000 | 1 | < 0.1% |
| 9248.15 | 1 | < 0.1% |
| 7500 | 1 | < 0.1% |
| 6500 | 1 | < 0.1% |
| 4000 | 4 | |
| 3800 | 1 | < 0.1% |
| 3750 | 1 | < 0.1% |
| 3600 | 1 | < 0.1% |
| 3556.59 | 2 |
Standard Price
Real number (ℝ)
HIGH CORRELATION
| Distinct | 375 |
|---|---|
| Distinct (%) | 7.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 283.56588 |
| Minimum | 6.49 |
|---|---|
| Maximum | 18496.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.0 KiB |
Quantile statistics
| Minimum | 6.49 |
|---|---|
| 5-th percentile | 15 |
| Q1 | 40 |
| median | 95 |
| Q3 | 225 |
| 95-th percentile | 1000 |
| Maximum | 18496.3 |
| Range | 18489.81 |
| Interquartile range (IQR) | 185 |
Descriptive statistics
| Standard deviation | 801.43854 |
|---|---|
| Coefficient of variation (CV) | 2.8262869 |
| Kurtosis | 137.28638 |
| Mean | 283.56588 |
| Median Absolute Deviation (MAD) | 65 |
| Skewness | 9.5540037 |
| Sum | 1488437.3 |
| Variance | 642303.74 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 50 | 305 | 5.8% |
| 20 | 225 | 4.3% |
| 150 | 215 | 4.1% |
| 30 | 204 | 3.9% |
| 25 | 200 | 3.8% |
| 100 | 198 | 3.8% |
| 40 | 183 | 3.5% |
| 60 | 167 | 3.2% |
| 200 | 163 | 3.1% |
| 10 | 162 | 3.1% |
| Other values (365) | 3227 |
| Value | Count | Frequency (%) |
| 6.49 | 1 | < 0.1% |
| 8.95 | 14 | 0.3% |
| 8.96 | 1 | < 0.1% |
| 9.73 | 3 | 0.1% |
| 10 | 162 | |
| 12.98 | 1 | < 0.1% |
| 13.44 | 17 | 0.3% |
| 15 | 161 | |
| 16.22 | 1 | < 0.1% |
| 17.91 | 18 | 0.3% |
| Value | Count | Frequency (%) |
| 18496.3 | 1 | |
| 15581.48 | 1 | |
| 15000 | 1 | |
| 12000 | 1 | |
| 10670.37 | 1 | |
| 10000 | 1 | |
| 9750 | 1 | |
| 8000 | 2 | |
| 7500 | 1 | |
| 7400 | 1 |
Premium Price
Real number (ℝ)
HIGH CORRELATION
| Distinct | 470 |
|---|---|
| Distinct (%) | 9.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 544.64435 |
| Minimum | 12.98 |
|---|---|
| Maximum | 35566.67 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.0 KiB |
Quantile statistics
| Minimum | 12.98 |
|---|---|
| 5-th percentile | 25 |
| Q1 | 75 |
| median | 160 |
| Q3 | 400 |
| 95-th percentile | 2006 |
| Maximum | 35566.67 |
| Range | 35553.69 |
| Interquartile range (IQR) | 325 |
Descriptive statistics
| Standard deviation | 1590.2678 |
|---|---|
| Coefficient of variation (CV) | 2.919828 |
| Kurtosis | 142.42722 |
| Mean | 544.64435 |
| Median Absolute Deviation (MAD) | 110 |
| Skewness | 9.5627565 |
| Sum | 2858838.2 |
| Variance | 2528951.7 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 100 | 320 | 6.1% |
| 150 | 205 | 3.9% |
| 200 | 201 | 3.8% |
| 50 | 186 | 3.5% |
| 300 | 146 | 2.8% |
| 250 | 142 | 2.7% |
| 500 | 138 | 2.6% |
| 30 | 136 | 2.6% |
| 60 | 129 | 2.5% |
| 120 | 117 | 2.2% |
| Other values (460) | 3529 |
| Value | Count | Frequency (%) |
| 12.98 | 3 | 0.1% |
| 13.44 | 7 | 0.1% |
| 15 | 79 | |
| 16.22 | 1 | < 0.1% |
| 17.91 | 9 | 0.2% |
| 20 | 100 | |
| 22.39 | 10 | 0.2% |
| 22.4 | 1 | < 0.1% |
| 25 | 93 | |
| 26.86 | 12 | 0.2% |
| Value | Count | Frequency (%) |
| 35566.67 | 2 | |
| 29307.41 | 1 | < 0.1% |
| 20000 | 4 | |
| 15000 | 3 | |
| 14229.63 | 2 | |
| 13659.26 | 1 | < 0.1% |
| 13500 | 1 | < 0.1% |
| 12000 | 1 | < 0.1% |
| 10800 | 1 | < 0.1% |
| 10670.37 | 1 | < 0.1% |
Basic Delivery
Real number (ℝ)
HIGH CORRELATION
| Distinct | 14 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.0779196 |
| Minimum | 1 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 61.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 14 |
| Maximum | 90 |
| Range | 89 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 4.7981182 |
|---|---|
| Coefficient of variation (CV) | 1.1766093 |
| Kurtosis | 39.405466 |
| Mean | 4.0779196 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 4.7086338 |
| Sum | 21405 |
| Variance | 23.021938 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 2 | 1305 | |
| 3 | 1109 | |
| 1 | 1105 | |
| 5 | 442 | 8.4% |
| 7 | 440 | 8.4% |
| 4 | 322 | 6.1% |
| 10 | 182 | 3.5% |
| 14 | 152 | 2.9% |
| 6 | 66 | 1.3% |
| 30 | 64 | 1.2% |
| Other values (4) | 62 | 1.2% |
| Value | Count | Frequency (%) |
| 1 | 1105 | |
| 2 | 1305 | |
| 3 | 1109 | |
| 4 | 322 | 6.1% |
| 5 | 442 | 8.4% |
| 6 | 66 | 1.3% |
| 7 | 440 | 8.4% |
| 10 | 182 | 3.5% |
| 14 | 152 | 2.9% |
| 21 | 56 | 1.1% |
| Value | Count | Frequency (%) |
| 90 | 1 | < 0.1% |
| 60 | 2 | < 0.1% |
| 45 | 3 | 0.1% |
| 30 | 64 | 1.2% |
| 21 | 56 | 1.1% |
| 14 | 152 | 2.9% |
| 10 | 182 | |
| 7 | 440 | |
| 6 | 66 | 1.3% |
| 5 | 442 |
Standard Delivery
Real number (ℝ)
HIGH CORRELATION
| Distinct | 16 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.3476853 |
| Minimum | 1 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 61.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 4 |
| Q3 | 7 |
| 95-th percentile | 21 |
| Maximum | 90 |
| Range | 89 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 7.1002254 |
|---|---|
| Coefficient of variation (CV) | 1.1185535 |
| Kurtosis | 21.407823 |
| Mean | 6.3476853 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 3.8209271 |
| Sum | 33319 |
| Variance | 50.4132 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 3 | 992 | |
| 2 | 864 | |
| 5 | 721 | |
| 7 | 628 | |
| 4 | 574 | |
| 10 | 352 | 6.7% |
| 1 | 323 | 6.2% |
| 14 | 297 | 5.7% |
| 6 | 177 | 3.4% |
| 21 | 145 | 2.8% |
| Other values (6) | 176 | 3.4% |
| Value | Count | Frequency (%) |
| 1 | 323 | 6.2% |
| 2 | 864 | |
| 3 | 992 | |
| 4 | 574 | |
| 5 | 721 | |
| 6 | 177 | 3.4% |
| 7 | 628 | |
| 10 | 352 | 6.7% |
| 14 | 297 | 5.7% |
| 15 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 90 | 1 | < 0.1% |
| 75 | 2 | < 0.1% |
| 60 | 16 | 0.3% |
| 45 | 22 | 0.4% |
| 30 | 133 | 2.5% |
| 21 | 145 | 2.8% |
| 15 | 2 | < 0.1% |
| 14 | 297 | |
| 10 | 352 | |
| 7 | 628 |
Premium Delivery
Real number (ℝ)
HIGH CORRELATION
| Distinct | 18 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.6174509 |
| Minimum | 1 |
|---|---|
| Maximum | 90 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 61.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 3 |
| median | 6 |
| Q3 | 10 |
| 95-th percentile | 30 |
| Maximum | 90 |
| Range | 89 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 11.605001 |
|---|---|
| Coefficient of variation (CV) | 1.2066607 |
| Kurtosis | 17.308914 |
| Mean | 9.6174509 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 3.6102942 |
| Sum | 50482 |
| Variance | 134.67604 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 7 | 885 | |
| 3 | 715 | |
| 5 | 686 | |
| 10 | 560 | |
| 4 | 459 | |
| 14 | 430 | |
| 2 | 390 | |
| 30 | 324 | 6.2% |
| 6 | 224 | 4.3% |
| 1 | 223 | 4.2% |
| Other values (8) | 353 | 6.7% |
| Value | Count | Frequency (%) |
| 1 | 223 | 4.2% |
| 2 | 390 | |
| 3 | 715 | |
| 4 | 459 | |
| 5 | 686 | |
| 6 | 224 | 4.3% |
| 7 | 885 | |
| 8 | 2 | < 0.1% |
| 10 | 560 | |
| 14 | 430 |
| Value | Count | Frequency (%) |
| 90 | 32 | 0.6% |
| 75 | 9 | 0.2% |
| 60 | 42 | 0.8% |
| 45 | 61 | 1.2% |
| 30 | 324 | |
| 28 | 1 | < 0.1% |
| 21 | 205 | 3.9% |
| 20 | 1 | < 0.1% |
| 14 | 430 | |
| 10 | 560 |
Basic Revision
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.44141741 |
| Minimum | -1 |
|---|---|
| Maximum | 9 |
| Zeros | 1114 |
| Zeros (%) | 21.2% |
| Negative | 1925 |
| Negative (%) | 36.7% |
| Memory size | 61.5 KiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | -1 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 3 |
| Maximum | 9 |
| Range | 10 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.5480266 |
|---|---|
| Coefficient of variation (CV) | 3.5069451 |
| Kurtosis | 3.1346189 |
| Mean | 0.44141741 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.393018 |
| Sum | 2317 |
| Variance | 2.3963864 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| -1 | 1925 | |
| 0 | 1114 | |
| 1 | 1060 | |
| 2 | 657 | 12.5% |
| 3 | 322 | 6.1% |
| 5 | 99 | 1.9% |
| 4 | 41 | 0.8% |
| 9 | 16 | 0.3% |
| 6 | 8 | 0.2% |
| 7 | 5 | 0.1% |
| Value | Count | Frequency (%) |
| -1 | 1925 | |
| 0 | 1114 | |
| 1 | 1060 | |
| 2 | 657 | 12.5% |
| 3 | 322 | 6.1% |
| 4 | 41 | 0.8% |
| 5 | 99 | 1.9% |
| 6 | 8 | 0.2% |
| 7 | 5 | 0.1% |
| 8 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 9 | 16 | 0.3% |
| 8 | 2 | < 0.1% |
| 7 | 5 | 0.1% |
| 6 | 8 | 0.2% |
| 5 | 99 | 1.9% |
| 4 | 41 | 0.8% |
| 3 | 322 | 6.1% |
| 2 | 657 | |
| 1 | 1060 | |
| 0 | 1114 |
Standard Revision
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.75328634 |
| Minimum | -1 |
|---|---|
| Maximum | 9 |
| Zeros | 1031 |
| Zeros (%) | 19.6% |
| Negative | 1925 |
| Negative (%) | 36.7% |
| Memory size | 61.5 KiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | -1 |
| median | 0 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 9 |
| Range | 10 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.9503901 |
|---|---|
| Coefficient of variation (CV) | 2.589175 |
| Kurtosis | 1.9309514 |
| Mean | 0.75328634 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.3129312 |
| Sum | 3954 |
| Variance | 3.8040217 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| -1 | 1925 | |
| 0 | 1031 | |
| 2 | 834 | |
| 1 | 581 | 11.1% |
| 3 | 454 | 8.6% |
| 5 | 206 | 3.9% |
| 4 | 114 | 2.2% |
| 9 | 36 | 0.7% |
| 6 | 31 | 0.6% |
| 7 | 24 | 0.5% |
| Value | Count | Frequency (%) |
| -1 | 1925 | |
| 0 | 1031 | |
| 1 | 581 | 11.1% |
| 2 | 834 | |
| 3 | 454 | 8.6% |
| 4 | 114 | 2.2% |
| 5 | 206 | 3.9% |
| 6 | 31 | 0.6% |
| 7 | 24 | 0.5% |
| 8 | 13 | 0.2% |
| Value | Count | Frequency (%) |
| 9 | 36 | 0.7% |
| 8 | 13 | 0.2% |
| 7 | 24 | 0.5% |
| 6 | 31 | 0.6% |
| 5 | 206 | 3.9% |
| 4 | 114 | 2.2% |
| 3 | 454 | |
| 2 | 834 | |
| 1 | 581 | |
| 0 | 1031 |
Premium Revision
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.81806058 |
| Minimum | -1 |
|---|---|
| Maximum | 9 |
| Zeros | 1281 |
| Zeros (%) | 24.4% |
| Negative | 1925 |
| Negative (%) | 36.7% |
| Memory size | 61.5 KiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | -1 |
| median | 0 |
| Q3 | 2 |
| 95-th percentile | 5 |
| Maximum | 9 |
| Range | 10 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.157978 |
|---|---|
| Coefficient of variation (CV) | 2.6379195 |
| Kurtosis | 1.9779352 |
| Mean | 0.81806058 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.4412189 |
| Sum | 4294 |
| Variance | 4.6568689 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| -1 | 1925 | |
| 0 | 1281 | |
| 2 | 578 | 11.0% |
| 3 | 553 | 10.5% |
| 1 | 369 | 7.0% |
| 5 | 242 | 4.6% |
| 4 | 133 | 2.5% |
| 9 | 65 | 1.2% |
| 7 | 42 | 0.8% |
| 6 | 37 | 0.7% |
| Value | Count | Frequency (%) |
| -1 | 1925 | |
| 0 | 1281 | |
| 1 | 369 | 7.0% |
| 2 | 578 | 11.0% |
| 3 | 553 | 10.5% |
| 4 | 133 | 2.5% |
| 5 | 242 | 4.6% |
| 6 | 37 | 0.7% |
| 7 | 42 | 0.8% |
| 8 | 24 | 0.5% |
| Value | Count | Frequency (%) |
| 9 | 65 | 1.2% |
| 8 | 24 | 0.5% |
| 7 | 42 | 0.8% |
| 6 | 37 | 0.7% |
| 5 | 242 | 4.6% |
| 4 | 133 | 2.5% |
| 3 | 553 | |
| 2 | 578 | |
| 1 | 369 | 7.0% |
| 0 | 1281 |
Rating
Real number (ℝ)
MISSING
| Distinct | 19 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 82 |
| Missing (%) | 1.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.9366751 |
| Minimum | 1 |
|---|---|
| Maximum | 5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 4.8 |
| Q1 | 4.9 |
| median | 5 |
| Q3 | 5 |
| 95-th percentile | 5 |
| Maximum | 5 |
| Range | 4 |
| Interquartile range (IQR) | 0.1 |
Descriptive statistics
| Standard deviation | 0.15819349 |
|---|---|
| Coefficient of variation (CV) | 0.032044541 |
| Kurtosis | 254.01381 |
| Mean | 4.9366751 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -12.463904 |
| Sum | 25507.8 |
| Variance | 0.02502518 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 5 | 3157 | |
| 4.9 | 1450 | |
| 4.8 | 353 | 6.7% |
| 4.7 | 110 | 2.1% |
| 4.6 | 29 | 0.6% |
| 4.5 | 19 | 0.4% |
| 4.3 | 15 | 0.3% |
| 4 | 8 | 0.2% |
| 4.4 | 6 | 0.1% |
| 4.2 | 4 | 0.1% |
| Other values (9) | 16 | 0.3% |
| (Missing) | 82 | 1.6% |
| Value | Count | Frequency (%) |
| 1 | 3 | 0.1% |
| 2.8 | 1 | < 0.1% |
| 3 | 3 | 0.1% |
| 3.2 | 2 | < 0.1% |
| 3.3 | 1 | < 0.1% |
| 3.5 | 1 | < 0.1% |
| 3.7 | 1 | < 0.1% |
| 3.8 | 1 | < 0.1% |
| 4 | 8 | |
| 4.1 | 3 | 0.1% |
| Value | Count | Frequency (%) |
| 5 | 3157 | |
| 4.9 | 1450 | |
| 4.8 | 353 | 6.7% |
| 4.7 | 110 | 2.1% |
| 4.6 | 29 | 0.6% |
| 4.5 | 19 | 0.4% |
| 4.4 | 6 | 0.1% |
| 4.3 | 15 | 0.3% |
| 4.2 | 4 | 0.1% |
| 4.1 | 3 | 0.1% |
Rating Count
Real number (ℝ)
| Distinct | 873 |
|---|---|
| Distinct (%) | 16.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 209.45275 |
| Minimum | 1 |
|---|---|
| Maximum | 12860 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 14 |
| median | 43 |
| Q3 | 164 |
| 95-th percentile | 882 |
| Maximum | 12860 |
| Range | 12859 |
| Interquartile range (IQR) | 150 |
Descriptive statistics
| Standard deviation | 608.22343 |
|---|---|
| Coefficient of variation (CV) | 2.9038694 |
| Kurtosis | 147.91509 |
| Mean | 209.45275 |
| Median Absolute Deviation (MAD) | 38 |
| Skewness | 9.84063 |
| Sum | 1099417.5 |
| Variance | 369935.74 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 164 | 3.1% |
| 2 | 155 | 3.0% |
| 3 | 143 | 2.7% |
| 5 | 114 | 2.2% |
| 4 | 99 | 1.9% |
| 7 | 94 | 1.8% |
| 11 | 85 | 1.6% |
| 12 | 83 | 1.6% |
| 15 | 82 | 1.6% |
| 13 | 80 | 1.5% |
| Other values (863) | 4150 |
| Value | Count | Frequency (%) |
| 1 | 164 | |
| 2 | 155 | |
| 3 | 143 | |
| 4 | 99 | |
| 5 | 114 | |
| 6 | 78 | |
| 7 | 94 | |
| 8 | 71 | |
| 9 | 68 | |
| 9.5 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 12860 | 1 | |
| 12396 | 1 | |
| 11201 | 1 | |
| 10938 | 1 | |
| 10732 | 1 | |
| 9729 | 1 | |
| 5971 | 1 | |
| 5961 | 1 | |
| 5800 | 1 | |
| 5396 | 1 |
Country
Text
| Distinct | 112 |
|---|---|
| Distinct (%) | 2.1% |
| Missing | 1 |
| Missing (%) | < 0.1% |
| Memory size | 82.0 KiB |
Length
| Max length | 22 |
|---|---|
| Median length | 19 |
| Mean length | 8.7370427 |
| Min length | 4 |
Characters and Unicode
| Total characters | 45852 |
|---|---|
| Distinct characters | 52 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 19 ? |
|---|---|
| Unique (%) | 0.4% |
Sample
| 1st row | Pakistan |
|---|---|
| 2nd row | Pakistan |
| 3rd row | Pakistan |
| 4th row | United States |
| 5th row | United Kingdom |
| Value | Count | Frequency (%) |
| pakistan | 1241 | |
| united | 1008 | |
| states | 665 | 10.3% |
| bangladesh | 461 | 7.1% |
| india | 380 | 5.9% |
| kingdom | 318 | 4.9% |
| nigeria | 131 | 2.0% |
| germany | 113 | 1.7% |
| sri | 108 | 1.7% |
| lanka | 108 | 1.7% |
| Other values (117) | 1952 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 6953 | |
| n | 4808 | 10.5% |
| i | 4445 | 9.7% |
| t | 4020 | 8.8% |
| e | 3516 | 7.7% |
| s | 2704 | 5.9% |
| d | 2565 | 5.6% |
| k | 1507 | 3.3% |
| P | 1363 | 3.0% |
| 1237 | 2.7% | |
| Other values (42) | 12734 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 45852 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 6953 | |
| n | 4808 | 10.5% |
| i | 4445 | 9.7% |
| t | 4020 | 8.8% |
| e | 3516 | 7.7% |
| s | 2704 | 5.9% |
| d | 2565 | 5.6% |
| k | 1507 | 3.3% |
| P | 1363 | 3.0% |
| 1237 | 2.7% | |
| Other values (42) | 12734 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 45852 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 6953 | |
| n | 4808 | 10.5% |
| i | 4445 | 9.7% |
| t | 4020 | 8.8% |
| e | 3516 | 7.7% |
| s | 2704 | 5.9% |
| d | 2565 | 5.6% |
| k | 1507 | 3.3% |
| P | 1363 | 3.0% |
| 1237 | 2.7% | |
| Other values (42) | 12734 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 45852 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 6953 | |
| n | 4808 | 10.5% |
| i | 4445 | 9.7% |
| t | 4020 | 8.8% |
| e | 3516 | 7.7% |
| s | 2704 | 5.9% |
| d | 2565 | 5.6% |
| k | 1507 | 3.3% |
| P | 1363 | 3.0% |
| 1237 | 2.7% | |
| Other values (42) | 12734 |
Member Since
Date
MISSING
| Distinct | 149 |
|---|---|
| Distinct (%) | 3.7% |
| Missing | 1259 |
| Missing (%) | 24.0% |
| Memory size | 82.0 KiB |
| Minimum | 2011-03-01 00:00:00 |
|---|---|
| Maximum | 2024-05-01 00:00:00 |
Histogram with fixed size bins (bins=50)
Avg Response Time
Real number (ℝ)
MISSING SKEWED
| Distinct | 34 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 1352 |
| Missing (%) | 25.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.3679754 |
| Minimum | 1 |
|---|---|
| Maximum | 696 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 13 |
| Maximum | 696 |
| Range | 695 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 18.241537 |
|---|---|
| Coefficient of variation (CV) | 4.1761996 |
| Kurtosis | 614.20078 |
| Mean | 4.3679754 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 20.364771 |
| Sum | 17022 |
| Variance | 332.75368 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=34)
| Value | Count | Frequency (%) |
| 1 | 2348 | |
| 2 | 470 | 9.0% |
| 3 | 271 | 5.2% |
| 4 | 199 | 3.8% |
| 5 | 118 | 2.2% |
| 6 | 85 | 1.6% |
| 7 | 51 | 1.0% |
| 8 | 49 | 0.9% |
| 9 | 42 | 0.8% |
| 24 | 42 | 0.8% |
| Other values (24) | 222 | 4.2% |
| (Missing) | 1352 |
| Value | Count | Frequency (%) |
| 1 | 2348 | |
| 2 | 470 | 9.0% |
| 3 | 271 | 5.2% |
| 4 | 199 | 3.8% |
| 5 | 118 | 2.2% |
| 6 | 85 | 1.6% |
| 7 | 51 | 1.0% |
| 8 | 49 | 0.9% |
| 9 | 42 | 0.8% |
| 10 | 29 | 0.6% |
| Value | Count | Frequency (%) |
| 696 | 1 | < 0.1% |
| 312 | 1 | < 0.1% |
| 288 | 3 | 0.1% |
| 264 | 1 | < 0.1% |
| 168 | 1 | < 0.1% |
| 144 | 6 | 0.1% |
| 120 | 1 | < 0.1% |
| 96 | 7 | 0.1% |
| 72 | 14 | 0.3% |
| 48 | 36 |
Last Delivery
Real number (ℝ)
MISSING ZEROS
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 1254 |
| Missing (%) | 23.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20.461577 |
| Minimum | 0 |
|---|---|
| Maximum | 1095 |
| Zeros | 1194 |
| Zeros (%) | 22.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 82.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 7 |
| 95-th percentile | 120 |
| Maximum | 1095 |
| Range | 1095 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 62.641761 |
|---|---|
| Coefficient of variation (CV) | 3.0614337 |
| Kurtosis | 49.1998 |
| Mean | 20.461577 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 5.7447295 |
| Sum | 81744 |
| Variance | 3923.9902 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 0 | 1194 | |
| 1 | 564 | |
| 7 | 411 | 7.8% |
| 2 | 341 | 6.5% |
| 3 | 241 | 4.6% |
| 14 | 195 | 3.7% |
| 30 | 185 | 3.5% |
| 4 | 170 | 3.2% |
| 5 | 129 | 2.5% |
| 21 | 119 | 2.3% |
| Other values (16) | 446 | 8.5% |
| (Missing) | 1254 |
| Value | Count | Frequency (%) |
| 0 | 1194 | |
| 1 | 564 | |
| 2 | 341 | 6.5% |
| 3 | 241 | 4.6% |
| 4 | 170 | 3.2% |
| 5 | 129 | 2.5% |
| 6 | 62 | 1.2% |
| 7 | 411 | 7.8% |
| 14 | 195 | 3.7% |
| 21 | 119 | 2.3% |
| Value | Count | Frequency (%) |
| 1095 | 1 | < 0.1% |
| 730 | 4 | 0.1% |
| 365 | 31 | |
| 360 | 1 | < 0.1% |
| 330 | 12 | 0.2% |
| 300 | 22 | |
| 270 | 9 | 0.2% |
| 240 | 22 | |
| 210 | 40 | |
| 180 | 20 |
Order in Queue
Real number (ℝ)
ZEROS
| Distinct | 51 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.6572681 |
| Minimum | 0 |
|---|---|
| Maximum | 215 |
| Zeros | 3198 |
| Zeros (%) | 60.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 61.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 7 |
| Maximum | 215 |
| Range | 215 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 6.1279303 |
|---|---|
| Coefficient of variation (CV) | 3.6976096 |
| Kurtosis | 483.04287 |
| Mean | 1.6572681 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 17.767115 |
| Sum | 8699 |
| Variance | 37.551529 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 3198 | |
| 1 | 760 | 14.5% |
| 2 | 421 | 8.0% |
| 3 | 237 | 4.5% |
| 4 | 154 | 2.9% |
| 5 | 106 | 2.0% |
| 6 | 82 | 1.6% |
| 7 | 50 | 1.0% |
| 8 | 43 | 0.8% |
| 11 | 31 | 0.6% |
| Other values (41) | 167 | 3.2% |
| Value | Count | Frequency (%) |
| 0 | 3198 | |
| 1 | 760 | 14.5% |
| 2 | 421 | 8.0% |
| 3 | 237 | 4.5% |
| 4 | 154 | 2.9% |
| 5 | 106 | 2.0% |
| 6 | 82 | 1.6% |
| 7 | 50 | 1.0% |
| 8 | 43 | 0.8% |
| 9 | 20 | 0.4% |
| Value | Count | Frequency (%) |
| 215 | 1 | |
| 164 | 1 | |
| 161 | 1 | |
| 82 | 1 | |
| 76 | 1 | |
| 72 | 1 | |
| 63 | 1 | |
| 56 | 2 | |
| 54 | 1 | |
| 52 | 1 |
is_single_plan
Boolean
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 46.1 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 5249 |
Arabic
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 225 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5024 | |
| 1 | 225 | 4.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5024 | |
| 1 | 225 | 4.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5024 | |
| 1 | 225 | 4.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5024 | |
| 1 | 225 | 4.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5024 | |
| 1 | 225 | 4.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5024 | |
| 1 | 225 | 4.3% |
Bengali
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 257 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 257 | 4.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 257 | 4.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 257 | 4.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 257 | 4.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 257 | 4.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 257 | 4.9% |
Chinese
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 96 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5153 | |
| 1 | 96 | 1.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5153 | |
| 1 | 96 | 1.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5153 | |
| 1 | 96 | 1.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5153 | |
| 1 | 96 | 1.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5153 | |
| 1 | 96 | 1.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5153 | |
| 1 | 96 | 1.8% |
Dutch
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 72 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5177 | |
| 1 | 72 | 1.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5177 | |
| 1 | 72 | 1.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5177 | |
| 1 | 72 | 1.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5177 | |
| 1 | 72 | 1.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5177 | |
| 1 | 72 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5177 | |
| 1 | 72 | 1.4% |
English
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 1 | |
|---|---|
| 0 | 49 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 5200 | |
| 0 | 49 | 0.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 5200 | |
| 0 | 49 | 0.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 5200 | |
| 0 | 49 | 0.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 5200 | |
| 0 | 49 | 0.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 5200 | |
| 0 | 49 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 5200 | |
| 0 | 49 | 0.9% |
French
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4480 | |
| 1 | 769 | 14.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 4480 | |
| 1 | 769 | 14.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4480 | |
| 1 | 769 | 14.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4480 | |
| 1 | 769 | 14.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4480 | |
| 1 | 769 | 14.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4480 | |
| 1 | 769 | 14.7% |
German
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4567 | |
| 1 | 682 | 13.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 4567 | |
| 1 | 682 | 13.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4567 | |
| 1 | 682 | 13.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4567 | |
| 1 | 682 | 13.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4567 | |
| 1 | 682 | 13.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4567 | |
| 1 | 682 | 13.0% |
Hebrew
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 61 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5188 | |
| 1 | 61 | 1.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5188 | |
| 1 | 61 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5188 | |
| 1 | 61 | 1.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5188 | |
| 1 | 61 | 1.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5188 | |
| 1 | 61 | 1.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5188 | |
| 1 | 61 | 1.2% |
Hindi
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4759 | |
| 1 | 490 | 9.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 4759 | |
| 1 | 490 | 9.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4759 | |
| 1 | 490 | 9.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4759 | |
| 1 | 490 | 9.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4759 | |
| 1 | 490 | 9.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4759 | |
| 1 | 490 | 9.3% |
Indonesian
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 68 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5181 | |
| 1 | 68 | 1.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5181 | |
| 1 | 68 | 1.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5181 | |
| 1 | 68 | 1.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5181 | |
| 1 | 68 | 1.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5181 | |
| 1 | 68 | 1.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5181 | |
| 1 | 68 | 1.3% |
Italian
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 245 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5004 | |
| 1 | 245 | 4.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5004 | |
| 1 | 245 | 4.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5004 | |
| 1 | 245 | 4.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5004 | |
| 1 | 245 | 4.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5004 | |
| 1 | 245 | 4.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5004 | |
| 1 | 245 | 4.7% |
Portuguese
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 141 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5108 | |
| 1 | 141 | 2.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5108 | |
| 1 | 141 | 2.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5108 | |
| 1 | 141 | 2.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5108 | |
| 1 | 141 | 2.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5108 | |
| 1 | 141 | 2.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5108 | |
| 1 | 141 | 2.7% |
Punjabi
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 109 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5140 | |
| 1 | 109 | 2.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5140 | |
| 1 | 109 | 2.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5140 | |
| 1 | 109 | 2.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5140 | |
| 1 | 109 | 2.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5140 | |
| 1 | 109 | 2.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5140 | |
| 1 | 109 | 2.1% |
Russian
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 198 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5051 | |
| 1 | 198 | 3.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5051 | |
| 1 | 198 | 3.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5051 | |
| 1 | 198 | 3.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5051 | |
| 1 | 198 | 3.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5051 | |
| 1 | 198 | 3.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5051 | |
| 1 | 198 | 3.8% |
Spanish
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4201 | |
| 1 | 1048 | 20.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 4201 | |
| 1 | 1048 | 20.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4201 | |
| 1 | 1048 | 20.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4201 | |
| 1 | 1048 | 20.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4201 | |
| 1 | 1048 | 20.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4201 | |
| 1 | 1048 | 20.0% |
Turkish
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 69 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5180 | |
| 1 | 69 | 1.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5180 | |
| 1 | 69 | 1.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5180 | |
| 1 | 69 | 1.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5180 | |
| 1 | 69 | 1.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5180 | |
| 1 | 69 | 1.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5180 | |
| 1 | 69 | 1.3% |
Ukrainian
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 | 105 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5144 | |
| 1 | 105 | 2.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 5144 | |
| 1 | 105 | 2.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5144 | |
| 1 | 105 | 2.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5144 | |
| 1 | 105 | 2.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5144 | |
| 1 | 105 | 2.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 5144 | |
| 1 | 105 | 2.0% |
Urdu
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 82.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5249 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4532 | |
| 1 | 717 | 13.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 4532 | |
| 1 | 717 | 13.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4532 | |
| 1 | 717 | 13.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4532 | |
| 1 | 717 | 13.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4532 | |
| 1 | 717 | 13.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5249 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4532 | |
| 1 | 717 | 13.7% |
| Arabic | Avg Response Time | Basic Delivery | Basic Price | Basic Revision | Bengali | Category | Chinese | Dutch | English | Field | French | German | Hebrew | Hindi | Indonesian | Italian | Last Delivery | Order in Queue | Portuguese | Premium Delivery | Premium Price | Premium Revision | Punjabi | Rating | Rating Count | Russian | Seller In Same Level | Seller Level | Spanish | Standard Delivery | Standard Price | Standard Revision | Turkish | Ukrainian | Urdu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Arabic | 1.000 | -0.057 | -0.060 | -0.038 | -0.017 | 0.007 | 0.089 | 0.000 | 0.000 | 0.000 | 0.119 | 0.174 | 0.005 | 0.000 | 0.024 | 0.015 | 0.033 | 0.002 | -0.035 | 0.029 | -0.025 | -0.028 | -0.031 | 0.021 | -0.033 | -0.030 | 0.005 | 0.062 | 0.082 | 0.000 | -0.034 | -0.031 | -0.011 | 0.000 | 0.023 | 0.064 |
| Avg Response Time | -0.057 | 1.000 | 0.203 | 0.162 | 0.027 | 0.000 | 0.026 | 0.000 | 0.000 | 0.000 | 0.054 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.130 | -0.061 | 0.134 | 0.126 | 0.097 | 0.041 | 0.000 | 0.108 | 0.008 | 0.000 | -0.070 | 0.086 | 0.030 | 0.163 | 0.118 | 0.019 | 0.000 | 0.000 | 0.000 |
| Basic Delivery | -0.060 | 0.203 | 1.000 | 0.543 | 0.081 | 0.020 | 0.093 | 0.000 | 0.000 | 0.000 | 0.157 | 0.030 | 0.040 | 0.000 | 0.060 | 0.000 | 0.035 | 0.052 | 0.078 | 0.000 | 0.676 | 0.453 | 0.085 | 0.000 | 0.131 | 0.018 | 0.000 | -0.159 | 0.097 | 0.020 | 0.835 | 0.501 | 0.080 | 0.000 | 0.000 | 0.040 |
| Basic Price | -0.038 | 0.162 | 0.543 | 1.000 | 0.138 | 0.000 | 0.045 | 0.000 | 0.049 | 0.000 | 0.063 | 0.017 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.156 | -0.088 | 0.000 | 0.461 | 0.844 | 0.158 | 0.000 | 0.204 | -0.141 | 0.063 | -0.281 | 0.038 | 0.017 | 0.525 | 0.910 | 0.148 | 0.042 | 0.030 | 0.000 |
| Basic Revision | -0.017 | 0.027 | 0.081 | 0.138 | 1.000 | 0.067 | 0.167 | 0.030 | 0.000 | 0.018 | 0.195 | 0.017 | 0.041 | 0.000 | 0.028 | 0.051 | 0.014 | 0.006 | 0.041 | 0.042 | 0.051 | 0.077 | 0.881 | 0.033 | 0.024 | 0.108 | 0.000 | 0.086 | 0.000 | 0.000 | 0.069 | 0.099 | 0.946 | 0.000 | 0.024 | 0.044 |
| Bengali | 0.007 | 0.000 | 0.020 | 0.000 | 0.067 | 1.000 | 0.176 | 0.016 | 0.007 | 0.011 | 0.270 | 0.056 | 0.000 | 0.086 | 0.217 | 0.017 | 0.037 | -0.041 | 0.037 | 0.032 | 0.002 | -0.038 | -0.049 | 0.027 | -0.087 | 0.021 | 0.035 | 0.088 | 0.040 | 0.034 | -0.028 | -0.054 | -0.039 | 0.018 | 0.026 | 0.056 |
| Category | 0.089 | 0.026 | 0.093 | 0.045 | 0.167 | 0.176 | 1.000 | 0.096 | 0.048 | 0.063 | 0.998 | 0.117 | 0.082 | 0.046 | 0.191 | 0.115 | 0.074 | 0.066 | 0.097 | 0.076 | 0.021 | 0.003 | 0.288 | 0.108 | 0.074 | 0.098 | 0.114 | 0.172 | 0.062 | 0.084 | 0.045 | 0.013 | 0.287 | 0.042 | 0.095 | 0.303 |
| Chinese | 0.000 | 0.000 | 0.000 | 0.000 | 0.030 | 0.016 | 0.096 | 1.000 | 0.000 | 0.000 | 0.120 | 0.012 | 0.000 | 0.000 | 0.039 | 0.025 | 0.023 | 0.022 | -0.035 | 0.012 | -0.031 | -0.011 | 0.007 | 0.006 | 0.018 | -0.018 | 0.000 | -0.000 | 0.016 | 0.039 | -0.019 | -0.012 | 0.008 | 0.000 | 0.000 | 0.000 |
| Dutch | 0.000 | 0.000 | 0.000 | 0.049 | 0.000 | 0.007 | 0.048 | 0.000 | 1.000 | 0.000 | 0.098 | 0.073 | 0.097 | 0.000 | 0.026 | 0.000 | 0.009 | -0.001 | 0.007 | 0.000 | -0.002 | 0.021 | -0.007 | 0.000 | 0.019 | 0.000 | 0.000 | 0.002 | 0.014 | 0.026 | 0.004 | 0.023 | -0.009 | 0.000 | 0.000 | 0.027 |
| English | 0.000 | 0.000 | 0.000 | 0.000 | 0.018 | 0.011 | 0.063 | 0.000 | 0.000 | 1.000 | 0.052 | 0.015 | 0.018 | 0.000 | 0.024 | 0.000 | 0.000 | -0.069 | 0.022 | 0.000 | 0.015 | 0.017 | 0.037 | 0.000 | -0.009 | 0.055 | 0.000 | 0.003 | 0.043 | 0.000 | 0.014 | 0.014 | 0.045 | 0.000 | 0.000 | 0.027 |
| Field | 0.119 | 0.054 | 0.157 | 0.063 | 0.195 | 0.270 | 0.998 | 0.120 | 0.098 | 0.052 | 1.000 | 0.162 | 0.154 | 0.082 | 0.205 | 0.135 | 0.105 | -0.068 | 0.146 | 0.117 | -0.003 | -0.005 | 0.038 | 0.114 | -0.018 | 0.122 | 0.193 | 0.187 | 0.111 | 0.178 | -0.013 | -0.016 | 0.056 | 0.081 | 0.131 | 0.325 |
| French | 0.174 | 0.000 | 0.030 | 0.017 | 0.017 | 0.056 | 0.117 | 0.012 | 0.073 | 0.015 | 0.162 | 1.000 | 0.329 | 0.000 | 0.071 | 0.033 | 0.082 | -0.032 | 0.011 | 0.008 | -0.024 | -0.021 | -0.020 | 0.053 | -0.060 | -0.023 | 0.023 | 0.102 | 0.071 | 0.276 | -0.046 | -0.041 | -0.008 | 0.010 | 0.056 | 0.057 |
| German | 0.005 | 0.000 | 0.040 | 0.000 | 0.041 | 0.000 | 0.082 | 0.000 | 0.097 | 0.018 | 0.154 | 0.329 | 1.000 | 0.000 | 0.079 | 0.000 | 0.051 | -0.062 | 0.053 | 0.000 | -0.018 | -0.013 | -0.027 | 0.053 | -0.060 | -0.008 | 0.000 | 0.082 | 0.056 | 0.237 | -0.026 | -0.022 | -0.019 | 0.024 | 0.021 | 0.077 |
| Hebrew | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.086 | 0.046 | 0.000 | 0.000 | 0.000 | 0.082 | 0.000 | 0.000 | 1.000 | 0.033 | 0.000 | 0.000 | 0.001 | 0.003 | 0.000 | 0.020 | 0.018 | -0.007 | 0.000 | -0.029 | -0.018 | 0.000 | 0.000 | 0.010 | 0.005 | 0.004 | 0.012 | -0.012 | 0.000 | 0.000 | 0.038 |
| Hindi | 0.024 | 0.000 | 0.060 | 0.000 | 0.028 | 0.217 | 0.191 | 0.039 | 0.026 | 0.024 | 0.205 | 0.071 | 0.079 | 0.033 | 1.000 | 0.031 | 0.059 | -0.011 | -0.006 | 0.045 | 0.028 | 0.022 | -0.003 | 0.162 | -0.045 | -0.011 | 0.060 | 0.054 | 0.000 | 0.086 | 0.007 | 0.005 | 0.007 | 0.025 | 0.041 | 0.166 |
| Indonesian | 0.015 | 0.000 | 0.000 | 0.000 | 0.051 | 0.017 | 0.115 | 0.025 | 0.000 | 0.000 | 0.135 | 0.033 | 0.000 | 0.000 | 0.031 | 1.000 | 0.000 | -0.029 | 0.041 | 0.001 | -0.010 | -0.064 | 0.045 | 0.000 | -0.003 | 0.047 | 0.012 | -0.006 | 0.021 | 0.049 | -0.004 | -0.065 | 0.055 | 0.000 | 0.000 | 0.041 |
| Italian | 0.033 | 0.000 | 0.035 | 0.000 | 0.014 | 0.037 | 0.074 | 0.023 | 0.009 | 0.000 | 0.105 | 0.082 | 0.051 | 0.000 | 0.059 | 0.000 | 1.000 | 0.033 | 0.014 | 0.024 | -0.000 | -0.007 | 0.016 | 0.026 | 0.029 | -0.001 | 0.000 | 0.020 | 0.032 | 0.129 | -0.004 | -0.008 | 0.007 | 0.000 | 0.007 | 0.072 |
| Last Delivery | 0.002 | 0.130 | 0.052 | 0.156 | 0.006 | -0.041 | 0.066 | 0.022 | -0.001 | -0.069 | -0.068 | -0.032 | -0.062 | 0.001 | -0.011 | -0.029 | 0.033 | 1.000 | -0.493 | 0.006 | 0.067 | 0.157 | 0.032 | 0.023 | 0.092 | -0.445 | 0.046 | 0.076 | 0.197 | 0.000 | 0.065 | 0.154 | 0.019 | 0.023 | 0.021 | 0.000 |
| Order in Queue | -0.035 | -0.061 | 0.078 | -0.088 | 0.041 | 0.037 | 0.097 | -0.035 | 0.007 | 0.022 | 0.146 | 0.011 | 0.053 | 0.003 | -0.006 | 0.041 | 0.014 | -0.493 | 1.000 | 0.000 | 0.047 | -0.103 | 0.014 | 0.043 | -0.098 | 0.451 | 0.000 | 0.041 | 0.060 | 0.007 | 0.069 | -0.094 | 0.020 | 0.000 | 0.000 | 0.000 |
| Portuguese | 0.029 | 0.134 | 0.000 | 0.000 | 0.042 | 0.032 | 0.076 | 0.012 | 0.000 | 0.000 | 0.117 | 0.008 | 0.000 | 0.000 | 0.045 | 0.001 | 0.024 | 0.006 | 0.000 | 1.000 | -0.020 | -0.016 | 0.032 | 0.015 | 0.015 | 0.020 | 0.026 | -0.005 | 0.017 | 0.151 | -0.011 | -0.019 | 0.027 | 0.000 | 0.014 | 0.052 |
| Premium Delivery | -0.025 | 0.126 | 0.676 | 0.461 | 0.051 | 0.002 | 0.021 | -0.031 | -0.002 | 0.015 | -0.003 | -0.024 | -0.018 | 0.020 | 0.028 | -0.010 | -0.000 | 0.067 | 0.047 | -0.020 | 1.000 | 0.580 | 0.078 | 0.036 | 0.103 | -0.054 | 0.000 | -0.059 | 0.072 | 0.031 | 0.912 | 0.555 | 0.077 | 0.000 | 0.000 | 0.055 |
| Premium Price | -0.028 | 0.097 | 0.453 | 0.844 | 0.077 | -0.038 | 0.003 | -0.011 | 0.021 | 0.017 | -0.005 | -0.021 | -0.013 | 0.018 | 0.022 | -0.064 | -0.007 | 0.157 | -0.103 | -0.016 | 0.580 | 1.000 | 0.107 | 0.000 | 0.169 | -0.151 | 0.018 | -0.215 | 0.049 | 0.032 | 0.567 | 0.961 | 0.099 | 0.000 | 0.000 | 0.000 |
| Premium Revision | -0.031 | 0.041 | 0.085 | 0.158 | 0.881 | -0.049 | 0.288 | 0.007 | -0.007 | 0.037 | 0.038 | -0.020 | -0.027 | -0.007 | -0.003 | 0.045 | 0.016 | 0.032 | 0.014 | 0.032 | 0.078 | 0.107 | 1.000 | 0.049 | 0.049 | 0.079 | 0.027 | 0.048 | 0.019 | 0.000 | 0.090 | 0.129 | 0.920 | 0.000 | 0.038 | 0.092 |
| Punjabi | 0.021 | 0.000 | 0.000 | 0.000 | 0.033 | 0.027 | 0.108 | 0.006 | 0.000 | 0.000 | 0.114 | 0.053 | 0.053 | 0.000 | 0.162 | 0.000 | 0.026 | 0.023 | 0.043 | 0.015 | 0.036 | 0.000 | 0.049 | 1.000 | -0.023 | 0.004 | 0.021 | 0.008 | 0.000 | 0.063 | -0.023 | -0.011 | -0.001 | 0.000 | 0.008 | 0.313 |
| Rating | -0.033 | 0.108 | 0.131 | 0.204 | 0.024 | -0.087 | 0.074 | 0.018 | 0.019 | -0.009 | -0.018 | -0.060 | -0.060 | -0.029 | -0.045 | -0.003 | 0.029 | 0.092 | -0.098 | 0.015 | 0.103 | 0.169 | 0.049 | -0.023 | 1.000 | -0.059 | 0.000 | -0.108 | 0.057 | 0.000 | 0.124 | 0.182 | 0.022 | 0.000 | 0.000 | 0.020 |
| Rating Count | -0.030 | 0.008 | 0.018 | -0.141 | 0.108 | 0.021 | 0.098 | -0.018 | 0.000 | 0.055 | 0.122 | -0.023 | -0.008 | -0.018 | -0.011 | 0.047 | -0.001 | -0.445 | 0.451 | 0.020 | -0.054 | -0.151 | 0.079 | 0.004 | -0.059 | 1.000 | 0.000 | -0.035 | 0.100 | 0.029 | -0.025 | -0.144 | 0.090 | 0.000 | 0.000 | 0.000 |
| Russian | 0.005 | 0.000 | 0.000 | 0.063 | 0.000 | 0.035 | 0.114 | 0.000 | 0.000 | 0.000 | 0.193 | 0.023 | 0.000 | 0.000 | 0.060 | 0.012 | 0.000 | 0.046 | 0.000 | 0.026 | 0.000 | 0.018 | 0.027 | 0.021 | 0.000 | 0.000 | 1.000 | -0.040 | 0.006 | 0.030 | 0.016 | 0.016 | -0.008 | 0.041 | 0.332 | 0.064 |
| Seller In Same Level | 0.062 | -0.070 | -0.159 | -0.281 | 0.086 | 0.088 | 0.172 | -0.000 | 0.002 | 0.003 | 0.187 | 0.102 | 0.082 | 0.000 | 0.054 | -0.006 | 0.020 | 0.076 | 0.041 | -0.005 | -0.059 | -0.215 | 0.048 | 0.008 | -0.108 | -0.035 | -0.040 | 1.000 | 0.267 | 0.013 | -0.103 | -0.240 | 0.075 | 0.034 | 0.000 | 0.084 |
| Seller Level | 0.082 | 0.086 | 0.097 | 0.038 | 0.000 | 0.040 | 0.062 | 0.016 | 0.014 | 0.043 | 0.111 | 0.071 | 0.056 | 0.010 | 0.000 | 0.021 | 0.032 | 0.197 | 0.060 | 0.017 | 0.072 | 0.049 | 0.019 | 0.000 | 0.057 | 0.100 | 0.006 | 0.267 | 1.000 | 0.063 | 0.139 | 0.189 | 0.002 | 0.017 | 0.042 | 0.063 |
| Spanish | 0.000 | 0.030 | 0.020 | 0.017 | 0.000 | 0.034 | 0.084 | 0.039 | 0.026 | 0.000 | 0.178 | 0.276 | 0.237 | 0.005 | 0.086 | 0.049 | 0.129 | 0.000 | 0.007 | 0.151 | 0.031 | 0.032 | 0.000 | 0.063 | 0.000 | 0.029 | 0.030 | 0.013 | 0.063 | 1.000 | -0.021 | -0.034 | 0.017 | 0.022 | 0.037 | 0.104 |
| Standard Delivery | -0.034 | 0.163 | 0.835 | 0.525 | 0.069 | -0.028 | 0.045 | -0.019 | 0.004 | 0.014 | -0.013 | -0.046 | -0.026 | 0.004 | 0.007 | -0.004 | -0.004 | 0.065 | 0.069 | -0.011 | 0.912 | 0.567 | 0.090 | -0.023 | 0.124 | -0.025 | 0.016 | -0.103 | 0.139 | -0.021 | 1.000 | 0.586 | 0.088 | 0.000 | 0.000 | 0.015 |
| Standard Price | -0.031 | 0.118 | 0.501 | 0.910 | 0.099 | -0.054 | 0.013 | -0.012 | 0.023 | 0.014 | -0.016 | -0.041 | -0.022 | 0.012 | 0.005 | -0.065 | -0.008 | 0.154 | -0.094 | -0.019 | 0.555 | 0.961 | 0.129 | -0.011 | 0.182 | -0.144 | 0.016 | -0.240 | 0.189 | -0.034 | 0.586 | 1.000 | 0.118 | 0.000 | 0.000 | 0.000 |
| Standard Revision | -0.011 | 0.019 | 0.080 | 0.148 | 0.946 | -0.039 | 0.287 | 0.008 | -0.009 | 0.045 | 0.056 | -0.008 | -0.019 | -0.012 | 0.007 | 0.055 | 0.007 | 0.019 | 0.020 | 0.027 | 0.077 | 0.099 | 0.920 | -0.001 | 0.022 | 0.090 | -0.008 | 0.075 | 0.002 | 0.017 | 0.088 | 0.118 | 1.000 | 0.000 | 0.020 | 0.072 |
| Turkish | 0.000 | 0.000 | 0.000 | 0.042 | 0.000 | 0.018 | 0.042 | 0.000 | 0.000 | 0.000 | 0.081 | 0.010 | 0.024 | 0.000 | 0.025 | 0.000 | 0.000 | 0.023 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.041 | 0.034 | 0.017 | 0.022 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.031 |
| Ukrainian | 0.023 | 0.000 | 0.000 | 0.030 | 0.024 | 0.026 | 0.095 | 0.000 | 0.000 | 0.000 | 0.131 | 0.056 | 0.021 | 0.000 | 0.041 | 0.000 | 0.007 | 0.021 | 0.000 | 0.014 | 0.000 | 0.000 | 0.038 | 0.008 | 0.000 | 0.000 | 0.332 | 0.000 | 0.042 | 0.037 | 0.000 | 0.000 | 0.020 | 0.000 | 1.000 | 0.053 |
| Urdu | 0.064 | 0.000 | 0.040 | 0.000 | 0.044 | 0.056 | 0.303 | 0.000 | 0.027 | 0.027 | 0.325 | 0.057 | 0.077 | 0.038 | 0.166 | 0.041 | 0.072 | 0.000 | 0.000 | 0.052 | 0.055 | 0.000 | 0.092 | 0.313 | 0.020 | 0.000 | 0.064 | 0.084 | 0.063 | 0.104 | 0.015 | 0.000 | 0.072 | 0.031 | 0.053 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| Category | Field | Seller Level | Seller In Same Level | Basic Price | Standard Price | Premium Price | Basic Delivery | Standard Delivery | Premium Delivery | Basic Revision | Standard Revision | Premium Revision | Rating | Rating Count | Country | Member Since | Avg Response Time | Last Delivery | Order in Queue | is_single_plan | Arabic | Bengali | Chinese | Dutch | English | French | German | Hebrew | Hindi | Indonesian | Italian | Portuguese | Punjabi | Russian | Spanish | Turkish | Ukrainian | Urdu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Data | data-engineering | 2 | 293 | 447.76 | 626.86 | 891.04 | 7 | 14 | 14 | 2 | 2 | 2 | 5.0 | 3.0 | Pakistan | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 1 | Data | data-engineering | 2 | 293 | 250.00 | 450.00 | 950.00 | 3 | 5 | 7 | 1 | 2 | 5 | 5.0 | 5.0 | Pakistan | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 2 | Data | data-engineering | 2 | 293 | 50.00 | 100.00 | 150.00 | 1 | 3 | 5 | 0 | 1 | 2 | 5.0 | 12.0 | Pakistan | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 3 | Data | data-engineering | 2 | 293 | 120.00 | 200.00 | 400.00 | 2 | 3 | 10 | 1 | 2 | 2 | 5.0 | 13.0 | United States | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | Data | data-engineering | 2 | 293 | 100.00 | 300.00 | 450.00 | 7 | 10 | 7 | 1 | 1 | 2 | 4.6 | 8.0 | United Kingdom | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | Data | data-engineering | 2 | 293 | 30.00 | 50.00 | 95.00 | 1 | 2 | 3 | 1 | 1 | 2 | 4.9 | 22.0 | Pakistan | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 6 | Data | data-engineering | 2 | 293 | 80.00 | 160.00 | 300.00 | 3 | 7 | 14 | 3 | 3 | 3 | 5.0 | 19.0 | Bangladesh | NaN | NaN | NaN | 0 | False | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 7 | Data | data-engineering | 2 | 293 | 100.00 | 2000.00 | 10000.00 | 1 | 2 | 3 | 2 | 3 | 7 | 5.0 | 10.0 | Pakistan | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | Data | data-engineering | 2 | 293 | 200.00 | 300.00 | 400.00 | 7 | 14 | 21 | 1 | 2 | 3 | 5.0 | 2.0 | United States | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 12 | Data | data-engineering | 2 | 293 | 2133.96 | 3556.59 | 4981.48 | 3 | 5 | 10 | 2 | 3 | 3 | 5.0 | 1.0 | United Kingdom | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| Category | Field | Seller Level | Seller In Same Level | Basic Price | Standard Price | Premium Price | Basic Delivery | Standard Delivery | Premium Delivery | Basic Revision | Standard Revision | Premium Revision | Rating | Rating Count | Country | Member Since | Avg Response Time | Last Delivery | Order in Queue | is_single_plan | Arabic | Bengali | Chinese | Dutch | English | French | German | Hebrew | Hindi | Indonesian | Italian | Portuguese | Punjabi | Russian | Spanish | Turkish | Ukrainian | Urdu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6242 | Business | software-management | 4 | 55 | 150.0 | 750.0 | 1500.0 | 3 | 7 | 21 | -1 | -1 | -1 | 4.6 | 11.0 | Canada | 2020-12-01 | 1.0 | 3.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6244 | Business | software-management | 4 | 55 | 150.0 | 1500.0 | 3000.0 | 5 | 14 | 30 | -1 | -1 | -1 | 5.0 | 7.0 | Canada | 2020-12-01 | 1.0 | 3.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6245 | Business | software-management | 4 | 55 | 150.0 | 1500.0 | 3000.0 | 1 | 3 | 7 | -1 | -1 | -1 | 4.8 | 20.0 | Canada | 2020-12-01 | 1.0 | 3.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6246 | Business | software-management | 4 | 55 | 50.0 | 350.0 | 650.0 | 2 | 4 | 6 | -1 | -1 | -1 | 5.0 | 9.0 | Pakistan | 2018-10-01 | 1.0 | 0.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 6247 | Business | software-management | 4 | 55 | 70.0 | 130.0 | 180.0 | 10 | 10 | 10 | -1 | -1 | -1 | 5.0 | 24.0 | South Africa | 2020-08-01 | 2.0 | 2.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6248 | Business | software-management | 4 | 55 | 115.0 | 155.0 | 185.0 | 10 | 10 | 10 | -1 | -1 | -1 | 5.0 | 15.0 | South Africa | 2020-08-01 | 2.0 | 2.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6249 | Business | software-management | 4 | 55 | 500.0 | 1250.0 | 3250.0 | 10 | 10 | 14 | -1 | -1 | -1 | 5.0 | 21.0 | Germany | 2020-07-01 | 3.0 | 4.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6254 | Business | software-management | 4 | 55 | 15.0 | 60.0 | 90.0 | 10 | 10 | 10 | -1 | -1 | -1 | 5.0 | 4.0 | Mexico | 2015-04-01 | 8.0 | 0.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 6256 | Business | software-management | 4 | 55 | 115.0 | 155.0 | 185.0 | 10 | 10 | 10 | -1 | -1 | -1 | 5.0 | 128.0 | South Africa | 2020-08-01 | 2.0 | 2.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6261 | Business | software-management | 4 | 55 | 150.0 | 1200.0 | 2250.0 | 5 | 14 | 30 | -1 | -1 | -1 | 5.0 | 175.0 | Canada | 2020-12-01 | 1.0 | 3.0 | 3 | False | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Most frequently occurring
| Category | Field | Seller Level | Seller In Same Level | Basic Price | Standard Price | Premium Price | Basic Delivery | Standard Delivery | Premium Delivery | Basic Revision | Standard Revision | Premium Revision | Rating | Rating Count | Country | Member Since | Avg Response Time | Last Delivery | Order in Queue | is_single_plan | Arabic | Bengali | Chinese | Dutch | English | French | German | Hebrew | Hindi | Indonesian | Italian | Portuguese | Punjabi | Russian | Spanish | Turkish | Ukrainian | Urdu | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Business | sales | 4 | 35 | 10.0 | 50.0 | 180.0 | 2 | 2 | 2 | -1 | -1 | -1 | 4.9 | 219.0 | United States | 2017-01-01 | 2.0 | 0.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| 1 | Business | sales | 4 | 35 | 15.0 | 50.0 | 120.0 | 1 | 2 | 4 | -1 | -1 | -1 | 4.9 | 341.0 | Pakistan | 2020-02-01 | 1.0 | 0.0 | 2 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 |
| 2 | Business | sales | 4 | 35 | 20.0 | 35.0 | 45.0 | 2 | 2 | 2 | -1 | -1 | -1 | 5.0 | 331.0 | United States | 2017-01-01 | 2.0 | 0.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| 3 | Business | software-management | 2 | 502 | 65.0 | 400.0 | 530.0 | 4 | 10 | 14 | -1 | -1 | -1 | 4.9 | 79.0 | Argentina | 2021-06-01 | 3.0 | 14.0 | 1 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
| 4 | Data | databases | 2 | 608 | 5.0 | 20.0 | 60.0 | 1 | 2 | 5 | 2 | 3 | 3 | 4.8 | 2.0 | Kenya | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| 5 | Data | databases | 4 | 22 | 300.0 | 450.0 | 600.0 | 14 | 14 | 14 | -1 | -1 | -1 | NaN | 36.0 | Cyprus | NaN | NaN | NaN | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
| 6 | Digital Marketing | social-marketing | 4 | 459 | 65.0 | 115.0 | 145.0 | 4 | 4 | 5 | -1 | -1 | -1 | 5.0 | 553.0 | Ireland | 2017-10-01 | 2.0 | 0.0 | 7 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| 7 | Graphics & Design | social-media-design | 4 | 258 | 50.0 | 65.0 | 90.0 | 3 | 3 | 3 | 0 | 0 | 0 | 4.9 | 3896.0 | United Kingdom | 2013-10-01 | 1.0 | 1.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| 8 | Lifestyle | online-tutoring | 4 | 23 | 15.0 | 25.0 | 35.0 | 1 | 1 | 1 | -1 | -1 | -1 | 5.0 | 41.0 | United States | 2013-01-01 | 1.0 | 0.0 | 0 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
| 9 | Lifestyle | personal-stylists | 2 | 128 | 65.0 | 115.0 | 145.0 | 1 | 2 | 3 | -1 | -1 | -1 | 4.8 | 82.0 | United States | 2021-07-01 | 17.0 | 0.0 | 2 | False | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |